Design and Implementation of diffraction grating based on 10.6μm all-optical depth neural network
Received:April 14, 2019  Revised:December 16, 2019  download
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Author NameAffiliationE-mail
NIU Hai-Sha Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing 100192, China niuhs@buaa.edu.cn 
YU Ming-Xin Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing 100192, China  
ZHU Bo-Fei Beijing ZX Intelligent Chip Technology Co., Ltd., Beijing 100876,China  
YAO Qi-Feng Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing 100192, China  
ZHANG Qian-Kun Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing 100192, China  
LU Li-Dan Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing 100192, China  
ZHU Lian-Qing The 11th Research Institute of China Electronic Science & Technology Group Inc., Beijing 100015,China  
ZHONG Guo-Shun Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing 100192, China zhulianqing@sina.com 
Abstract:The photonic artificial intelligent chip performs calculations at the speed of light, and has the advantages of low power consumption, low delay, and anti-electromagnetic interference. Miniaturization and integration are the key steps to realize this technological innovation. In this paper, lithography is applied to the fabrication of diffraction gratings. A design and implementation method of all-optics diffraction deep learning neural network grating based on 10.6 micron laser is proposed. Since the wavelength of the light source evolved from the millimeter wave to micrometer wave, the characteristic scale of the neuron are reduced to 20 micrometers. Compared with the existing optical computing neural network, the feature size of the deep learning neural network is reduced by 80 times, which laid the foundation for further large-scale integration of photonic computing chips.
keywords:Photonic chip  diffraction grating  deep learning  neural network
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Copyright:《Journal of Infrared And Millimeter Waves》